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Learning Guided Electron Microscopy with Active Acquisition

Jan 07, 2021
Lu Mi, Hao Wang, Yaron Meirovitch, Richard Schalek, Srinivas C. Turaga, Jeff W. Lichtman, Aravinthan D. T. Samuel, Nir Shavit

* MICCAI 2020 

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On the Predictability of Pruning Across Scales

Jun 19, 2020
Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit


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L3 Fusion: Fast Transformed Convolutions on CPUs

Dec 04, 2019
Rati Gelashvili, Nir Shavit, Aleksandar Zlateski


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Training-Free Uncertainty Estimation for Neural Networks

Sep 28, 2019
Lu Mi, Hao Wang, Yonglong Tian, Nir Shavit

* 15 pages, 10 figures 

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A Constructive Prediction of the Generalization Error Across Scales

Sep 27, 2019
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit


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Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics

Dec 04, 2018
Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit

* 10 pages, 10 figures 

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Deep Learning is Robust to Massive Label Noise

Feb 26, 2018
David Rolnick, Andreas Veit, Serge Belongie, Nir Shavit


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Deep Tensor Convolution on Multicores

Jun 11, 2017
David Budden, Alexander Matveev, Shibani Santurkar, Shraman Ray Chaudhuri, Nir Shavit

* 11 pages, 4 figures, 1 supplementary doc 

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Generative Compression

Jun 04, 2017
Shibani Santurkar, David Budden, Nir Shavit


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Morphological Error Detection in 3D Segmentations

May 30, 2017
David Rolnick, Yaron Meirovitch, Toufiq Parag, Hanspeter Pfister, Viren Jain, Jeff W. Lichtman, Edward S. Boyden, Nir Shavit

* 13 pages, 6 figures 

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Toward Streaming Synapse Detection with Compositional ConvNets

Feb 23, 2017
Shibani Santurkar, David Budden, Alexander Matveev, Heather Berlin, Hayk Saribekyan, Yaron Meirovitch, Nir Shavit

* 10 pages, 9 figures 

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A Multi-Pass Approach to Large-Scale Connectomics

Dec 07, 2016
Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan, David Budden, David Rolnick, Gergely Odor, Seymour Knowles-Barley, Thouis Raymond Jones, Hanspeter Pfister, Jeff William Lichtman, Nir Shavit

* 18 pages, 10 figures 

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